LiuJi0826's Stars
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
lawlite19/MachineLearning_Python
机器学习算法python实现
FeiSun/BERT4Rec
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
jaywonchung/BERT4Rec-VAE-Pytorch
Pytorch implementation of BERT4Rec and Netflix VAE.
Alinshans/MyTinySTL
Achieve a tiny STL in C++11
changkun/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
TheAlgorithms/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Light-City/CPlusPlusThings
C++那些事
amhndu/SimpleNES
An NES emulator in C++
DongHande/AutoDebias
This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
huangtinglin/NGCF-PyTorch
PyTorch Implementation for Neural Graph Collaborative Filtering
lpty/recommendation
推荐系统实例
ZJU-DAILY/MetaKG
Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
PKUFlyingPig/Self-learning-Computer-Science
the resources I use to learn computer science in my spare time
PKUFlyingPig/cs-self-learning
计算机自学指南
zhougr1993/DeepInterestNetwork
hexiangnan/neural_collaborative_filtering
Neural Collaborative Filtering
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
recommendationsys/RPMLG-Rec
This is our implementation for the paper: "Relation-Propagation Meta-Learning on an Explicit Preference Graph for Cold-Start Recommendation"
Chrystalii/CERec
hello-dx/POWERec
pytorch implementation for Prompt-based and Weak-modality Enhanced Multimodal Recommendation
wangshusen/RecommenderSystem
recommenders-team/recommenders
Best Practices on Recommendation Systems
practical-tutorials/project-based-learning
Curated list of project-based tutorials
janhq/jan
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Miraclelucy/dive_into_deep_learning
✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠